Naslov
Data Set for Stance and Sentiment Analysis from User Comments on Croatian News

Autori
Bošnjak, Mihaela ; Karan, Mladen

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing / - Firenza : München : Association for Computational Linguistics (ACL), 2019, 50-55

Skup
7th Workshop on Balto-Slavic Natural Language Processing. Association for Computational Linguistics

Mjesto i datum
Firenca, Italija, 28.07.2019. - 02.08.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
sentiment, stavovi, tvrdnje, obrada prirodnog jezika
(sentiment, stance, claims, natural language processing)

Sažetak
Nowadays it is becoming more important than ever to find new ways of extracting useful information from the evergrowing amount of user-generated data available online. In this paper, we describe the creation of a data set that contains news articles and corresponding comments from Croatian news outlet 24 sata. Our annotation scheme is specifically tailored for the task of detecting stances and sentiment from user comments as well as assessing if commentator claims are verifiable. Through this data, we hope to get a better understanding of the publics viewpoint on various events. In addition, we also explore the potential of applying supervised machine learning models to automate annotation of more data

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA